首页> 中文期刊> 《武汉理工大学学报(交通科学与工程版)》 >基于数学形态学和神经网络的车牌识别

基于数学形态学和神经网络的车牌识别

         

摘要

汽车牌照的自动识别系统是一种应用于公路交通管理和收费的智能监控系统,文中提出了基于形态学处理定位牌照图象的区域的方法.该方法与其它方法相比对图象没有严格的限制和要求.三层反馈神经网络用来识别和分类,实验证明该方法是有效的.%Requirement of automatic recognition of vehicle license numbers from their plates is inrncreasing for social services such as traffic control and collection motor-way charges. This paper rnproposes an algorithm based on mathematical morphology operations to detect the region of a vehirncle licence plate from an image. The uniqueness of this algorithm, in comparison with other aprnproaches to this problem, is that there are no special restrictions imposed on the input images.rnAutomatic recognition and classification based on feedward three layers neural networks are used.rnAll algorithms in the paper are verified at 586 computer and experimental results are efficient for rnrecognition and classification.

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